Fireside Chats with Empathic Futures Lab
Arts:Design
In this episode, we discuss the ramifications that ML/AI has on the privacy and identity. In particular, what design implications and solutions are incurred. The following topics come up during this discussion.
We discuss this great article in the NY Times on explainable AI: https://www.nytimes.com/2017/11/21/magazine/can-ai-be-taught-to-explain-itself.html
How can we reverse or change our identity in a time when are current selves are made up all the data produced by our past selves (data inertia).
What does it mean to society if ML algorithms are digging up knowledge that we are not prepared to embrace? ML has no taboos, it just finds patterns.
Life Designers in the future: can a person work in tandem with machines to curate our lives? What does that mean for our quality of life? How does that influence how we relate to each other?
Episode 34: Value Engineering w/ Alex Bahr
Episode 33: Dumb AI
Episode 32: Deep Dive on Heritage
Episode 31: The Many faces of Interfaces
Episode 30: [AR]chitecture
Episode 29: Mirror Worlds - or why the future is Green
Episode 28: Disconnecting - find your premium
Episode 27: What AirBnB's Backyard project might mean and other tangential topics
Episode 26: Digital Environments - Picnics or otherwise
Episode 25: Edges, Interfaces, the Formalization of the Digital
Episode 24: Big Bias, Big Data, Blockchain and other Topics
Episode 23: Why Media is so Broken (and other clickbaity titles)
Episode 22: Season 2 Kick-off Event
Episode 20: Trust Us, Reputation is the Future!
Episode 19: Why do we detail?
Episode 18: A Design Language
Episode 17: Re-Installing Architecture
Episode 16: What does Experience Mean?
Episode 15: Authenticity in Fiction
Episode 14: Future Business
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